Consider a few prompts customers may give AI in retail scenarios.

“Why can’t I use my promo code on this item?” 

“I’m looking for boots with a heel no higher than 2 inches, camel brown, real leather, comfortable, and under $150.” 

“My order’s delayed. Can I cancel it and get something else that’ll arrive on time?” 

These are just a few examples of how consumers engage with AI in their shopping experiences today. Whether it is personalized product discovery, chatting with AI assistants for support, or enjoying seamless omnichannel experiences powered by real-time inventory sync and dynamic pricing, – AI is everywhere. And it’s not going anywhere.  

When used responsibly, AI can streamline and elevate the shopping experience. But it also requires consumers to share a significant amount of personal information. That’s why the real question in this early era of retail AI isn’t if it’s used, but how it’s used. This holiday season will magnify both the benefits and the risks of AI in customer interactions—and the stakes have never been higher. 

How can retailers harness AI to enhance customer experience without compromising trust? In this post, we’ll discuss exactly that, to help your brand leverage AI in meaningful ways that enhance the retail customer experience at every stage. 

It’s go time: How AI powers retail’s holiday rush

The fourth quarter is retail’s most critical season, where speed, scale, and service can make or break customer relationships. AI offers powerful support in managing volume and accelerating response times, but retailers must balance automation with empathy, especially during a season that can be both exciting and stressful for shoppers.  

As digital tools become more sophisticated, so do consumer expectations. According to Forsta’s recent study on trust in the digital age, 59% of consumers expect a brand to respond within 24 hours, 67% expect a follow-up, and over 60% will walk away after just one or two poor experiences. Speed is essential—but quality and resolution matter just as much when it comes to earning and keeping consumer trust. 

The busiest time of the year is also the best opportunity to impress. Every chat, call, and interaction is an opportunity to deliver standout service. Shoppers share their experiences, and great promotions only go so far if the service doesn’t match. AI can help manage the surge, but it must do more than respond—it must understand, resolve, and support the conversation. 

The new front door: AI as the first touchpoint

Before customers even land on a retailer’s site, they’re increasingly turning to AI-powered assistants like ChatGPT.  

In fact, according to Modern Retail, ChatGPT has quickly become one of the most influential tools for product discovery, now driving significant referral traffic to major retailers like Walmart, Target, Etsy, and eBay.

As consumers increasingly click through AI-generated shopping recommendations, ChatGPT is emerging as a new gateway for how people find products and services online. With the recent launch of its own browser, Atlas, OpenAI is doubling down on making ChatGPT a central hub for search, shopping, and discovery—potentially reshaping the digital shopping journey once dominated by Google and Amazon.  

This shift has major implications for retailers. Traditional SEO strategies that focus on keywords and ranking are no longer enough. Retailers who ignore this shift risk falling behind.  To stay competitive, they must rethink traditional SEO strategies and embrace GEO (Generative Engine Optimization).  This means understanding customer intent not through keywords, but through context, scenarios, and natural language.  

Strong product data, rich service descriptions, conversational content like FAQs, guides, and blog posts, plus encouraging ratings and reviews; all of these matter. But it’s not just about volume. Quality, authenticity, and relevancy are what resonate with consumers. It’s one thing to show up in search results. It’s another to show up when it counts. 

Where AI shines and where it stumbles 

I’ve heard a paradox of phrases when it comes to AI from “this is the worst AI will ever” to “that is SO AI” to “is that AI?!”. It’s all evolving; AI is learning, we’re learning, and even the AI detectors are learning. One thing is for certain; consumers care that it works.  

AI excels at being predictable, helps with repetitive tasks but struggles with nuance, emotion, and complex problem-solving. It misses the mark on human touch and understanding. For example, AI could be profoundly useful in retail this holiday season for tasks like order tracking (“where is my order?”), product comparisons, return policy questions, and personalized product discovery. In fact, 48% of U.S. and 45% of UK consumers welcome AI-led customer experience for faster service according to the same report.   

But not everything is straightforward. Product issues, exchanges, or emotionally charged scenarios can overwhelm an AI assistant. Which is why today only 1 in 5 are “very comfortable” with AI alone.  

I recently experienced this firsthand. I contacted a major home improvement retailer about a product with next-day delivery clearly promised throughout the shopping journey—from product page to checkout to confirmation email. Yet the next day, I received a notice that delivery would take five business days. When I reached out via chat, the AI failed to grasp my concern, simply repeating the standard shipping window and ignoring the discrepancy. This is where AI fell short—not in speed, but in comprehension and resolution. 

The double-edged sword of AI: Power and responsibility 

Having led both store operations and ecommerce, I’ve seen how AI offers retailers immense potential to elevate customer service, craft high-converting promotions, personalized messaging for distinct customer segments, and ultimately drive sales and loyalty. But with great power comes great responsibility. Without thoughtful implementation, AI can erode trust and damage customer relationships. 

Every day, consumers make conscious choices about whether to share personal data with brands. Consider how often you’re asked to enter your birthdate—usually with the hope of receiving a birthday reward. Or the moment you input your phone number at checkout to access your loyalty account. These interactions reflect a broader trend: 69% of U.S. consumers and 64% of U.K. consumers are still willing to share personal data in exchange for better experiences. Data has become the new currency. But customers will only “spend” if the exchange feels secure, respectful, and worthwhile. 

That value exchange might come in the form of birthday perks, personalized loyalty programs, exclusive offers, subscription services that learn your preferences, or tailored product recommendations. Personalization drives action—30% of U.S. and 28% of U.K. consumers would consider switching brands for a more personalized experience. This is especially critical during the holiday season, when retailers must cut through the noise to win attention, drive conversions, and capture new customer data that fuels engagement into the new year. 

Yet despite their willingness to share, trust remains fragile. Only 22% of consumers trust retailers to use their data responsibly, and that number drops even further when it comes to generative AI tools like ChatGPT. That’s why transparency is non-negotiable. Retailers must clearly communicate when AI is being used, what data is being collected, and how it will be stored and applied. Building trust isn’t just good ethics—it’s good business. And that pays off: 71% of U.S. and 66% of UK consumers would choose a brand they trust with their data, even if it costs more. 

Human-AI teams shaping the future of retail

AI is already streamlining operations, automating routine tasks, optimizing inventory management, assisting with customer inquiries, and uncovering service improvement opportunities—delivering fast, tangible wins. While many of these wins happen behind the scenes, the next chapter of AI will increasingly blend human and machine interactions, creating seamless, often invisible experiences. The most successful retailers will harness AI’s efficiency while preserving human empathy and oversight. 

Striking the right balance between human touch and AI tools unlocks real advantages. Employee feedback and frontline actions can surface valuable insights, while AI can amplify these by identifying patterns and scaling solutions. When used responsibly and consistently across channels, AI can enhance customer benefits and loyalty. Importantly, 62% of consumers are willing to share their data—fueling these AI systems—when they receive meaningful value and improved experiences in return. Trust and transparency will be key to sustaining this exchange.  

5 Rules of engagement for responsible retail AI use

1. Use AI thoughtfully and transparently 
   Deploy AI with clear intent and communicate openly when and how it’s being used — whether in customer service, personalization, or decision-making. 
2. Be clear about data practices 
   Inform customers what data is being collected, why it’s needed, and how it will be used. Respect privacy and comply with all relevant regulations. 
3. Highlight the value to customers 
   Explain how AI enhances the customer experience — faster service, smarter recommendations, or more personalized interactions and even rewards. 
4. Maintain human oversight
   Continuously monitor AI outputs and customer feedback. Ensure human intervention is available to resolve issues with empathy and care. 
5. Act quickly and communicate honestly
   If something goes wrong, respond swiftly and transparently. Own the issue, communicate clearly, and prioritize restoring trust. 

Winning the holiday season starts with earning trust

AI is here, and its adoption is accelerating across retail. When used thoughtfully—with the customer at the center—it can be a powerful tool for delivering faster, more personalized, and more efficient experiences. But trust isn’t automatically earned. Retailers who prioritize transparency, responsible use, and human-AI collaboration won’t just win the holiday season, they’ll build lasting customer loyalty. 

As with any emerging technology, the smartest path forward is to pilot, measure, and learn. Gather feedback from both customers and employees to understand the full experience and use that insight to refine and scale. AI can be a game-changer this holiday season, and its impact will only grow. Those who move quickly, but responsibly, will gain more than sales and efficiency; they’ll earn trust. 

Because the future of retail isn’t just automated. 

It’s trusted.